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Integrated Metagenomics/Metaproteomics Reveals Human Host-Microbiota Signatures of Crohn's Disease

Overview of attention for article published in PLOS ONE, November 2012
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Title
Integrated Metagenomics/Metaproteomics Reveals Human Host-Microbiota Signatures of Crohn's Disease
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0049138
Pubmed ID
Authors

Alison R. Erickson, Brandi L. Cantarel, Regina Lamendella, Youssef Darzi, Emmanuel F. Mongodin, Chongle Pan, Manesh Shah, Jonas Halfvarson, Curt Tysk, Bernard Henrissat, Jeroen Raes, Nathan C. Verberkmoes, Claire M. Fraser, Robert L. Hettich, Janet K. Jansson

Abstract

Crohn's disease (CD) is an inflammatory bowel disease of complex etiology, although dysbiosis of the gut microbiota has been implicated in chronic immune-mediated inflammation associated with CD. Here we combined shotgun metagenomic and metaproteomic approaches to identify potential functional signatures of CD in stool samples from six twin pairs that were either healthy, or that had CD in the ileum (ICD) or colon (CCD). Integration of these omics approaches revealed several genes, proteins, and pathways that primarily differentiated ICD from healthy subjects, including depletion of many proteins in ICD. In addition, the ICD phenotype was associated with alterations in bacterial carbohydrate metabolism, bacterial-host interactions, as well as human host-secreted enzymes. This eco-systems biology approach underscores the link between the gut microbiota and functional alterations in the pathophysiology of Crohn's disease and aids in identification of novel diagnostic targets and disease specific biomarkers.

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Mendeley readers

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Geographical breakdown

Country Count As %
United States 12 2%
Brazil 6 1%
France 4 <1%
Belgium 2 <1%
Russia 2 <1%
Spain 2 <1%
United Kingdom 2 <1%
Australia 1 <1%
Switzerland 1 <1%
Other 7 1%
Unknown 560 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 143 24%
Student > Ph. D. Student 129 22%
Student > Master 67 11%
Student > Bachelor 58 10%
Student > Doctoral Student 28 5%
Other 87 15%
Unknown 87 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 221 37%
Biochemistry, Genetics and Molecular Biology 91 15%
Medicine and Dentistry 64 11%
Immunology and Microbiology 40 7%
Computer Science 19 3%
Other 65 11%
Unknown 99 17%